Latest AI and machine learning research in nuclear medicine for healthcare professionals.
In bone cancer imaging, positron emission tomography (PET) is ideal for the diagnosis and staging of...
PURPOSE: The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) im...
OBJECTIVE: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher ...
PURPOSE: To address the challenges of verifying MR-based attenuation correction (MRAC) in PET/MR due...
INTRODUCTION: Providing tools for comprehensively evaluating scintigraphy images could enhance trans...
BACKGROUND: Computed tomography attenuation correction (CTAC) is commonly used in cardiac SPECT imag...
This review aims to provide an up-to-date overview of the utility of artificial intelligence (AI) in...
The increasing impacts of climate change on global agriculture necessitate the development of advanc...
Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiolog...
PURPOSE: Advancements of deep learning in medical imaging are often constrained by the limited avail...
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using ...
AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/com...
PURPOSE: The common approach for organ segmentation in hybrid imaging relies on coregistered CT (CTA...
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) aft...
PURPOSE: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal...
. This study aims to enhance positron emission tomography (PET) imaging systems by developing a cont...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language ta...
PURPOSE: Radiomics-based machine learning (ML) models of amino acid positron emission tomography (PE...
This paper proposes the use of artificial intelligence techniques, specifically the nnU-Net convolut...
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...